Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
type: Item
instance of: scholarly article
title: Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
zbMATH Open document ID: 1110.93030
author: Chunshien Li
author: Kuo-Hsiang Cheng
published in: Fuzzy Sets and Systems
publication date: 2007-03-02T00:00:00Z
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93A30
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93E35
zbMATH DE Number: 5130393
zbMATH Keywords: recurrent neuro-fuzzy system (RNFS)
zbMATH Keywords: hybrid learning (HL)
zbMATH Keywords: random optimization (RO)
zbMATH Keywords: least square estimation (LSE)
zbMATH Keywords: system identification
zbMATH Keywords: modeling
describes a project that uses: ANFIS
MaRDI profile type: Publication
full work available at URL: j.fss.2006.09.002
OpenAlex ID: W2034922207
cites work: Prediction of Chaotic Time Series Based on the Recurrent Predictor Neural Network
cites work: Multilayer feedforward networks are universal approximators
cites work: Q4388223
cites work: Identification and prediction using recurrent compensatory neuro-fuzzy systems
cites work: Random optimization
cites work: Neuro-fuzzy systems for function approximation
cites work: Fuzzy identification of systems and its applications to modeling and control
cites work: A hierarchical fuzzy-clustering approach to fuzzy modeling
DOI: 10.1016/J.FSS.2006.09.002
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description: scientific article; zbMATH DE number 5130393